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Asymmetric Information in Military Microgrid Confrontations—Evaluation Metric and Influence Analysis

Author

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  • Peng Jiang

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
    China Academy of Launch Vehicle Technology, China Aerospace Science and Technology Corporation, Beijing 100076, China)

  • Shengjun Huang

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
    Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology (HKL-MESI 2 T), National University of Defense Technology, Changsha 410073, China)

  • Tao Zhang

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
    Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology (HKL-MESI 2 T), National University of Defense Technology, Changsha 410073, China)

Abstract

Due to the wide integration of information technology in equipment and weapons, a stable and reliable power supply has become one of the pivotal factors in modern warfare to achieve victory. As a critical infrastructure to provide continuous energy supply during long-duration electrical outage, military microgrid always suffers fierce attacks from the enemy. In order to improve the defense effect, a lot of investigation has been made into resource allocation, Distributed Generator (DG) distribution, network reconfiguration, and so forth. Nevertheless, the information gap between defender and attacker has not been considered in the literature. Therefore, this paper is intended to highlight this information mismatch to appeal for community attention and evaluate its capability to improve defensive performance. Firstly, a novel assessment metric is proposed to identify the level of asymmetric information. Then, an Attacker-Defender (AD) model is developed to describe the zero-sum game between two opposite agents, which is subsequently tackled with dual theory and big- M method. Finally, three cases ranging from 6-bus to 57-bus are utilized for numerical experiments to analyze the influence of asymmetric information on military microgrid confrontation. Results on various levels of attack strength validated the effectiveness and significance of asymmetric information in eliminating the attack damage and improving the defensive performance.

Suggested Citation

  • Peng Jiang & Shengjun Huang & Tao Zhang, 2020. "Asymmetric Information in Military Microgrid Confrontations—Evaluation Metric and Influence Analysis," Energies, MDPI, vol. 13(8), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1954-:d:345999
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    References listed on IDEAS

    as
    1. Peng Jiang & Shengjun Huang & Tao Zhang, 2019. "Optimal Deception Strategies in Power System Fortification against Deliberate Attacks," Energies, MDPI, vol. 12(3), pages 1-20, January.
    2. Strakos, Joshua K. & Quintanilla, Jose A. & Huscroft, Joseph R., 2016. "Department of Defense energy policy and research: A framework to support strategy," Energy Policy, Elsevier, vol. 92(C), pages 83-91.
    3. Lai, Kexing & Illindala, Mahesh & Subramaniam, Karthikeyan, 2019. "A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment," Applied Energy, Elsevier, vol. 235(C), pages 204-218.
    4. Lin, Yanling & Bie, Zhaohong, 2018. "Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding," Applied Energy, Elsevier, vol. 210(C), pages 1266-1279.
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    Cited by:

    1. Hans Liwång, 2023. "Future National Energy Systems, Energy Security and Comprehensive National Defence," Energies, MDPI, vol. 16(18), pages 1-16, September.

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